iFlytek Workflow

About

Leverage iFlytek's AI agent platform to rapidly build workflows with the Model Context Protocol (MCP). This server implementation allows seamless integration of iFlytek workflows into applications by providing a standardized framework to supply Large Language Models (LLMs) with the necessary contextual data. The system supports intelligent workflow scheduling for a variety of business cases, featuring robust node support, advanced orchestration modes (sequential, parallel, loop, and nested execution), multiple development paradigms, and multi-model support.

Key Features

• Utilizes Model of Models (MoM) hybrid application architecture for flexible model combinations.
• Offers advanced orchestration modes: sequential, parallel, loop, and nested execution.
• 4 GitHub stars
• Supports 14 types of workflow nodes, including basic, tool, logic, and transformation types.
• Supports complex variable I/O for flexible data transmission.
• Enables streaming output with a Hook Mechanism for real-time processing.

Use Cases

• Building complex processes with branching logic via multi-branch support.
• Creating dynamic conversations using multi-turn interaction with context memory.
• Automating repetitive tasks through loop execution.